TY - JOUR
T1 - Network Densification and Path-Loss Models Versus UDN Performance - A Unified Approach
AU - Chen, Shuyi
AU - Zhao, Tianyu
AU - Chen, Hsiao Hwa
AU - Meng, Weixiao
N1 - Funding Information:
Manuscript received January 19, 2020; revised June 25, 2020 and October 15, 2020; accepted January 19, 2021. Date of publication February 5, 2021; date of current version July 12, 2021. This work was supported in part by the Natural Science Foundation of China under Grant U1764263, Grant 61671186, and Grant 61901315; and in part by the Taiwan Ministry of Science and Technology under Grant 109-2221-E-006-175-MY3 and Grant 109-2221-E-006-182-MY3. The associate editor coordinating the review of this article and approving it for publication was Y. Chen. (Corresponding authors: Hsiao-Hwa Chen; Shuyi Chen.) Shuyi Chen, Tianyu Zhao, and Weixiao Meng are with the Communications Research Center, Harbin Institute of Technology, Harbin 150001, China (e-mail: [email protected]; [email protected]; wxmeng@ hit.edu.cn).
Publisher Copyright:
© 2012 IEEE.
PY - 2021/7
Y1 - 2021/7
N2 - Ultra-dense network (UDN) is one of the most important techniques to support massive number of different types of user equipments (UEs). It is essential to understand the impact of densification on various system performance metrics in future cellular networks. Two contradictory conclusions were made from the existing research works. Some works indicated that the network densification has reached its upper limit and deploying more UEs may only reduce UDN performance; whereas the others claimed that more UEs can still be supported by deploying more small cell base stations (SBSs). The existence of above different conclusions is due mainly to the difficulties to find an effective means to take into account different path loss models in UDNs. In this paper, we aim to propose a unified analytical approach, which is effective to simplify UDN performance analysis based on different path loss models with a low computation complexity. Using the proposed approach with idle mode of SBSs enabled, we can identify the impact of the densities of SBSs and UEs on various performance metrics, i.e., coverage probability and average area spectral efficiency (ASE). The conclusions will be supported by the analytical and simulation results verifying the effectiveness of the proposed unified analytical approach.
AB - Ultra-dense network (UDN) is one of the most important techniques to support massive number of different types of user equipments (UEs). It is essential to understand the impact of densification on various system performance metrics in future cellular networks. Two contradictory conclusions were made from the existing research works. Some works indicated that the network densification has reached its upper limit and deploying more UEs may only reduce UDN performance; whereas the others claimed that more UEs can still be supported by deploying more small cell base stations (SBSs). The existence of above different conclusions is due mainly to the difficulties to find an effective means to take into account different path loss models in UDNs. In this paper, we aim to propose a unified analytical approach, which is effective to simplify UDN performance analysis based on different path loss models with a low computation complexity. Using the proposed approach with idle mode of SBSs enabled, we can identify the impact of the densities of SBSs and UEs on various performance metrics, i.e., coverage probability and average area spectral efficiency (ASE). The conclusions will be supported by the analytical and simulation results verifying the effectiveness of the proposed unified analytical approach.
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U2 - 10.1109/TWC.2021.3055549
DO - 10.1109/TWC.2021.3055549
M3 - Article
AN - SCOPUS:85100850003
SN - 1536-1276
VL - 20
SP - 4058
EP - 4071
JO - IEEE Transactions on Wireless Communications
JF - IEEE Transactions on Wireless Communications
IS - 7
M1 - 9349213
ER -